Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- NTNU - Norwegian University of Science and Technology
- University of Oslo
- NTNU Norwegian University of Science and Technology
- Nord University
- University of Bergen
- Norwegian University of Life Sciences (NMBU)
- UiT The Arctic University of Norway
- Molde University College
- NHH Norwegian School of Economics
- Norwegian Meteorological Institute
- SINTEF
- 1 more »
- « less
-
Field
-
data analysis workflow from data import/cleaning to descriptive statistics and at least one inferential model. Code must be included and clearly commented. This is required to demonstrate advanced
-
and/or research experience in one or several of the following areas: methods and models related to power system protection and control or real-time systems and power system automation studies
-
models. The Department of Manufacturing and Civil Engineering is one of eight departments in the Faculty of Engineering. Apply for this job Deadline 6th October 2025 Employer NTNU - Norwegian University
-
cases for the position are related to virtual flow metering and well inflow applications. Research tasks include feature identification and selection for robust and trustworthy models. The PhD candidates
-
models related to power system protection and control or real-time systems and power system automation studies. Experience with interdisciplinary research work and methods. Personal characteristics
-
with—or documented interest in—advanced statistical methods for causal inference in observational data, model-based imputation, genetic epidemiology, or the application of machine learning to registry
-
knowledge about natural resource management Knowledge of software R Strong skills and/or interest in mathematical and statistical modelling is a strength Ability to conduct field work in remote alpine areas
-
about the molecular basis underlying variation in these traits. Atlantic salmon is among the most variable vertebrates on Earth in terms of life histories, making it a powerful model to study how complex
-
, model-based imputation, genetic epidemiology, or the application of machine learning to registry data is highly valued. Clinical experience with patients suffering from headache disorders is considered
-
using mouse models. Contact For further information about the position, please contact Associate professor Luis Hortells: email: Luis.hortells@uit.no phone: +47 77644517 Jon Terje Hellren Hansen via